AI Engineer (Agentic Systems)
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Before you apply
LocationToronto, ON, ca
Work moderemote · Canada
Typecontract
Company size8+ people
PostedOct 31, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Degree in Computer Science or Engineering
Strong Python skills and experience building production-grade AI/ML systems
Experience architecting complex agentic systems, including orchestration, tool use, memory, and state management
Strong theoretical and practical foundations in machine learning, deep learning, statistics, and optimization, with experience designing, training, evaluating, and improving ML models
Experience with AI evaluation, observability, reliability, and scalable infrastructure
Ability to quickly turn cutting-edge research into working prototypes
Strong problem-solving skills, product instincts, and a bias toward action
Familiarity with data privacy, permission-aware AI systems, and secure AI architectures
Skills
Python
AI
ML
machine learning
deep learning
statistics
optimization
Company Description
You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
Job Description
We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.
Qualifications
•
Degree in Computer Science or Engineering.
•
Strong Python skills and experience building production-grade AI/ML systems.
•
Experience architecting complex agentic systems, including orchestration, tool use, memory, and state management.
•
Strong theoretical and practical foundations in machine learning, deep learning, statistics, and optimization, with experience designing, training, evaluating, and improving ML models.
•
Experience with AI evaluation, observability, reliability, and scalable infrastructure.
•
Ability to quickly turn cutting-edge research into working prototypes.
•
Strong problem-solving skills, product instincts, and a bias toward action.
•
Bonus: Familiarity with data privacy, permission-aware AI systems, and secure AI architectures.
Love solving hard problems at the frontier of AI? Come build what’s next with us.
Additional Information
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We have competitive compensation.
•
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.